Indicators for data lifecycle management
Enforce stringent controls on data through its entire lifecycle to ensure residency, privacy, sovereignty, and security. Scale data-related processes and align them with regulatory compliance, protecting software from disruptions due to data mismanagement.
Indicators
- [AG.DLM.1] Define recovery objectives to maintain business continuity
- [AG.DLM.2] Strengthen security with systematic encryption enforcement
- [AG.DLM.3] Automate data processes for reliable collection, transformation, and storage using pipelines
- [AG.DLM.4] Maintain data compliance with scalable classification strategies
- [AG.DLM.5] Reduce risks and costs with systematic data retention strategies
- [AG.DLM.6] Centralize shared data to enhance governance
- [AG.DLM.7] Ensure data safety with automated backup processes
- [AG.DLM.8] Improve traceability with data provenance tracking
